Sarah Iqbal

59 total papers · 1.1k total citations
31 papers, 800 citations indexed

About

Sarah Iqbal is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Nutrition and Dietetics. According to data from OpenAlex, Sarah Iqbal has authored 31 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 6 papers in Nutrition and Dietetics. Recurrent topics in Sarah Iqbal's work include Connective tissue disorders research (4 papers), Melanoma and MAPK Pathways (3 papers) and Synthesis of Tetrazole Derivatives (2 papers). Sarah Iqbal is often cited by papers focused on Connective tissue disorders research (4 papers), Melanoma and MAPK Pathways (3 papers) and Synthesis of Tetrazole Derivatives (2 papers). Sarah Iqbal collaborates with scholars based in India, United States and United Kingdom. Sarah Iqbal's co-authors include Imrana Naseem, Philip V. LoGrasso, Md. Maroof Alam, Akhtar Inam, Penny A. Handford, HaJeung Park, Shannon Howard, Sacha A. Jensen, Seema Sahay and Yangbo Feng and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Molecular and Cellular Biology.

In The Last Decade

Sarah Iqbal

30 papers receiving 788 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sarah Iqbal 308 193 103 95 79 31 800
Minsun Chang 587 1.9× 203 1.1× 65 0.6× 158 1.7× 85 1.1× 46 962
Pierangela Totta 486 1.6× 260 1.3× 84 0.8× 120 1.3× 37 0.5× 27 997
G Bartolini 418 1.4× 67 0.3× 75 0.7× 78 0.8× 132 1.7× 45 891
Yung-Luen Shih 546 1.8× 79 0.4× 68 0.7× 112 1.2× 68 0.9× 23 1.0k
Kathleen L. Tober 336 1.1× 87 0.5× 39 0.4× 77 0.8× 51 0.6× 31 974
Jin Won Yang 594 1.9× 87 0.5× 44 0.4× 123 1.3× 53 0.7× 37 1.0k
Xiaoying He 333 1.1× 75 0.4× 90 0.9× 65 0.7× 54 0.7× 43 776
Débora M. Cerqueira 412 1.3× 61 0.3× 61 0.6× 84 0.9× 53 0.7× 26 767
Daniela Rovito 423 1.4× 143 0.7× 52 0.5× 188 2.0× 25 0.3× 25 821
Lawrence J. Mordan 477 1.5× 58 0.3× 84 0.8× 58 0.6× 106 1.3× 21 983

Countries citing papers authored by Sarah Iqbal

Since Specialization
Citations

This map shows the geographic impact of Sarah Iqbal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sarah Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Iqbal more than expected).

Fields of papers citing papers by Sarah Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Iqbal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sarah Iqbal. The network helps show where Sarah Iqbal may publish in the future.

Co-authorship network of co-authors of Sarah Iqbal

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Iqbal. A scholar is included among the top collaborators of Sarah Iqbal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah Iqbal. Sarah Iqbal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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